Autoencoding Galaxy Spectra. II. Redshift Invariance and Outlier Detection
We present an unsupervised outlier detection method for galaxy spectra based on the spectrum autoencoder architecture spender , which reliably captures spectral features and provides highly realistic reconstructions for SDSS galaxy spectra. We interpret the sample density in the autoencoder latent s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2023-01-01
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| Series: | The Astronomical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-3881/ace100 |